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Adaptive noise cancellation with fast tunable RBF network

Chen, H., Gong, Y. and Hong, X. (2012) Adaptive noise cancellation with fast tunable RBF network. In: SSPD 2012: Sensor Signal Processing for Defence, 25-27 September 2012, Imperial College, London.

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This paper describes a novel adaptive noise cancellation system with fast tunable radial basis function (RBF). The weight coefficients of the RBF network are adapted by the multi-innovation recursive least square (MRLS) algorithm. If the RBF network performs poorly despite of the weight adaptation, an insignificant node with little contribution to the overall performance is replaced with a new node without changing the model size. Otherwise, the RBF network structure remains unchanged and only the weight vector is adapted. The simulation results show that the proposed approach can well cancel the noise in both stationary and nonstationary ANC systems.

Item Type:Conference or Workshop Item (Paper)
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:30196

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